Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
4350
Single Precision Score
3350
Half Precision Score
10132
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Lucky_n00b |
| Upload Date | March 14 2025 10:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2832
526.6 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.9 IPS |
|
|
Image Classification (Q)
|
100% |
6149
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6487
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6634
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6252
7.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
23614
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
2301
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (Q)
|
88% |
6616
530.4 IPS |
|
|
Face Detection (SP)
|
100% |
7550
89.7 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
15044
178.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6862
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5558
42.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19540
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17920
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17936
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61002
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3410
125.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11695
433.1 IPS |
|
|
Text Classification (SP)
|
100% |
2702
3.61 KIPS |
|
|
Text Classification (HP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2115
36.4 IPS |
